Ethical Assurance:A Practical Approach to the Responsible Design, Development, and Deployment of Data-Driven Technologies

54 Pages Posted: 18 Nov 2021

See all articles by Christopher Burr

Christopher Burr

The Alan Turing Institute; University of Oxford - Oxford Internet Institute

David Leslie

The Alan Turing Institute

Date Written: October 7, 2021

Abstract

This article offers several contributions to the interdisciplinary project of responsible research and innovation in data science and AI. First, it provides a critical analysis of current efforts to establish practical mechanisms for algorithmic assessment, which are used to operationalise normative principles, such as sustainability, accountability, transparency, fairness, and explainability, in order to identify limitations and gaps with the current approaches. Second, it provides an accessible introduction to the methodology of argument-based assurance, and explores how it is currently being applied in the development of safety cases for autonomous and intelligent systems. Third, it generalises this method to incorporate wider ethical, social, and legal considerations, in turn establishing a novel version of argument-based assurance that we call ‘ethical assurance.’ Ethical assurance is presented as a structured means for unifying the myriad practical mechanisms that have been proposed, as it is built upon a process-based form of project governance that supports inclusive and participatory ethical deliberation while also remaining grounded in social and technical realities. Finally, it sets an agenda for ethical assurance, by detailing current challenges, open questions, and next steps, which serve as a springboard to build an active (and interdisciplinary) research programme as well as contribute to ongoing discussions in policy and governance.

Keywords: argument-based assurance, machine learning, responsible research and innovation, data ethics, argumentation theory

Suggested Citation

Burr, Christopher and Burr, Christopher and Leslie, David, Ethical Assurance:A Practical Approach to the Responsible Design, Development, and Deployment of Data-Driven Technologies (October 7, 2021). Available at SSRN: https://ssrn.com/abstract=3937983 or http://dx.doi.org/10.2139/ssrn.3937983

Christopher Burr (Contact Author)

The Alan Turing Institute ( email )

British Library
96 Euston Road
London, NW1 2DB
United Kingdom

HOME PAGE: http://https://chrisdburr.com

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

David Leslie

The Alan Turing Institute ( email )

British Library, 96 Euston Road
London, NW12DB
United Kingdom

HOME PAGE: http://https://www.turing.ac.uk/people/researchers/david-leslie

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